侯传东, 李泓毅, 张昊军, 陈浩然, 张力中, 耿杰, 卢学春. 基于转录组学探究T细胞衰老的分子机制[J]. 解放军医学院学报, 2024, 45(6): 689-696. DOI: 10.12435/j.issn.2095-5227.2024.075
引用本文: 侯传东, 李泓毅, 张昊军, 陈浩然, 张力中, 耿杰, 卢学春. 基于转录组学探究T细胞衰老的分子机制[J]. 解放军医学院学报, 2024, 45(6): 689-696. DOI: 10.12435/j.issn.2095-5227.2024.075
HOU Chuandong, LI Hongyi, ZHANG Haojun, CHEN Haoran, ZHANG Lizhong, GENG Jie, LU Xuechun. Molecular mechanisms of T cell senescence through transcriptomics[J]. ACADEMIC JOURNAL OF CHINESE PLA MEDICAL SCHOOL, 2024, 45(6): 689-696. DOI: 10.12435/j.issn.2095-5227.2024.075
Citation: HOU Chuandong, LI Hongyi, ZHANG Haojun, CHEN Haoran, ZHANG Lizhong, GENG Jie, LU Xuechun. Molecular mechanisms of T cell senescence through transcriptomics[J]. ACADEMIC JOURNAL OF CHINESE PLA MEDICAL SCHOOL, 2024, 45(6): 689-696. DOI: 10.12435/j.issn.2095-5227.2024.075

基于转录组学探究T细胞衰老的分子机制

Molecular mechanisms of T cell senescence through transcriptomics

  • 摘要:
    背景 T细胞衰老是免疫衰老的关键环节之一,与多种老年相关疾病和肿瘤的发生发展密切相关,但缺乏基于转录组学探究T细胞衰老过程中分子机制的研究。
    目的 建立T细胞衰老模型并进行转录组测序,利用生物信息学方法分析T细胞衰老过程中的潜在分子机制并筛选关键基因。
    方法 从人类外周血单个核细胞中分选出T细胞,在体外经过短暂培养扩增后随机分为两组(衰老T细胞组使用含有20 mg/mL D-半乳糖的培养基,正常对照组使用不含有D-半乳糖的培养基),在培养48 h后,检测T细胞衰老前后端粒酶活性、端粒长度、衰老相关分泌表型、β-半乳糖苷酶活性等改变情况。通过对细胞模型的mRNA转录组测序并利用生物信息学方法分析显著差异表达基因(differentially expressed genes,DEGs),通过对DEGs进行富集分析和蛋白质-蛋白质互作(protein-protein interaction,PPI)网络构建,分析T细胞衰老过程中DEGs的功能状态并筛选关键基因。
    结果 D-半乳糖处理48 h后,T细胞发生端粒功能障碍,p21基因及蛋白质表达升高,分泌细胞因子增多,β半乳糖苷酶活性增加和细胞内脂质合成增加(P<0.05)。富集分析结果显示T细胞衰老后细胞因子-细胞因子受体相互作用、p53、PI3K/Akt/mTOR、NF-kappaB等信号通路活动增强;PPI网络分析发现ISGs和RPs基因家族可能在T细胞衰老过程中发挥关键作用。
    结论 衰老T细胞端粒功能障碍、脂质代谢紊乱、促炎能力和细胞衰老相关信号通路活动增强,并且ISGs和RPs基因家族可能参与到T细胞衰老的关键过程之中。

     

    Abstract:
    Background T cell senescence is one of the key components of immunosenescence, closely associated with the occurrence and development of various age-related diseases and tumors. However, there is a lack of research exploring the molecular mechanisms of T cell senescence based on transcriptomics.
    Objective To establish a T cell senescence model and perform transcriptome sequencing, then use bioinformatics methods to analyze potential molecular mechanisms and identify key genes during T cell senescence.
    Methods T cells were isolated from human peripheral blood mononuclear cells, after a brief period of in vitro culture for expansion, the cells were randomly divided into senescent T cell group, cultured in a medium containing 20mg/mL D-galactose, and normal control group, cultured in a medium without D-galactose. After 48 hours of culture, changes in telomerase activity, telomere length, senescence-associated secretory phenotype, and β-galactosidase activity were assessed in T cells before and after cell senescence. mRNA transcriptome sequencing of the cell models was performed, and bioinformatics methods were used to analyze significantly differentially expressed genes (DEGs). Enrichment analysis and the construction of protein-protein interaction (PPI) networks were conducted on the DEGs to analyze the functional status of DEGs during T cell senescence and to screen for key genes.
    Results After 48 hours of D-galactose treatment, T cells showed impaired telomere function, increased expression of p21 gene and protein, increased secretion of cytokines, enhanced β-galactosidase activity, and increased intracellular lipid synthesis. Enrichment analysis revealed that senescent T cells showed enhanced activity in cytokine-cytokine receptor interaction, p53, PI3K/Akt/mTOR, NF-kappaB signaling pathways. PPI network analysis suggested that ISGs and RPs gene families might play a crucial role in T cell senescence.
    Conclusion Senescent T cells exhibit telomere dysfunction, lipid metabolism disorder, enhanced pro-inflammatory capacity, and increased activity of cell senescence-related signaling pathways. Moreover, the ISGs and RPs gene families may play significant roles in the process of T cell senescence.

     

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